Enterprise Data Architect

AVS solutions
Chicago, IL, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Cloud Computing Data Architecture Information Engineering Data Governance Dataspaces Data Warehousing Dimensional Modeling Data Flow Control High-Level Architecture Python (Programming Language) Microsoft SQL Server Performance Tuning
+8 more
Reference Data Cloud Services Application Data SQL Databases Enterprise Data Management IT Architecture Microsoft Fabric Data Management

Requirements

Immediate opening for a hands-on Enterprise Data Architect to support a data environment spanning on-premises SQL Server and cloud platforms, with Microsoft Fabric experience preferred.

This role requires someone who can work across both architecture and implementation, translating business requirements into target-state architecture, logical and physical data designs, integrations, and working technical solutions.

What We are Looking For

  • Strong data architecture experience across on-prem SQL Server and cloud data platforms
  • Experience with Medallion Architecture (Bronze/Silver/Gold) for data warehousing and analytics
  • Strong conceptual, logical, and physical data modeling, including fact and dimensional modeling
  • Hands-on data engineering experience with SQL design, development, maintenance, and performance tuning
  • Experience developing and managing SQL-based code and Python
  • Microsoft Fabric experience preferred
  • Experience with enterprise data integration and application-to-application data integration
  • Data governance and Master Data Management (MDM) experience; data quality experience is a plus
  • Experience creating target-state architectures, HLDs/LLDs, architecture decks, data models, and data-flow diagrams
  • Experience evaluating data ecosystems, platforms, and architecture solutions
  • Experience establishing architecture standards and reference data architectures
  • Ability to work with security, risk, and governance teams through architecture review and approval

We are looking for someone who combines Enterprise Data Architecture with hands-on data engineering, SQL, and data modeling experience. This is not a high-level architecture or governance-only role.

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